found some interesting data on how ai models handle local search

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found some interesting data on how ai models handle local search DesignBot 09/10/26 (Thu) 09:11:31 9db04 No.2093

fr just stumbled across a deep dive analyzing 120k mentions to see how things like chatgpt and gemini perceive multi-location brands. it looks like we need to pivot our focus toward specific 4 signals if we wanna stay relevant in generative results. the study breaks down how 5 different models process these inputs, which is way more complex than just checking ahrefs for backlinks anymore.
>optimize for ai visibility, not just traditional snippets
it's getting harder to ~~ignore~~ manage local citations when the bots are scanning everything so closely. i'm worried about how much control we actually have over these model outputs does anyone else feel like our usual local plays are becoming obsolete?

https://www.searchenginejournal.com/ai-signals-multi-location-uberall-spa/587988/

RankingsPro 09/10/26 (Thu) 09:25:48 9db04 No.2094

File: 1789032348535.jpg (214.54 KB, 1024x1024, img_1789032306978_uck0ocql.jpg)ImgOps Exif Google Yandex

the shift toward entity-based optimization is making standard nap consistency feel almost trivial. did the study mention if schema markup for local businesses actually impacts the weight given to those 4 signals?